Jose Cadena

According to our database1, Jose Cadena authored at least 20 papers between 2014 and 2020.

Collaborative distances:



In proceedings 
PhD thesis 




Modeling the temporal network dynamics of neuronal cultures.
PLoS Comput. Biol., 2020

Critical Spatial Clusters for Vaccine Preventable Diseases.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints.
ACM Trans. Knowl. Discov. Data, 2019

Discovery of under immunized spatial clusters using network scan statistics.
BMC Medical Informatics Decis. Mak., 2019

MIDAS: Multilinear detection at scale.
J. Parallel Distributed Comput., 2019

Collaborative Inference Of Missing Smart Electric Meter Data For A Building.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Graph Anomaly Detection Based on Steiner Connectivity and Density.
Proc. IEEE, 2018

Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Graph Scan Statistics With Uncertainty.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Context-aided analysis of community evolution in networks.
Stat. Anal. Data Min., 2017

Near-Optimal and Practical Algorithms for Graph Scan Statistics.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Fast graph scan statistics optimization using algebraic fingerprints.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Multi-source models for civil unrest forecasting.
Soc. Netw. Anal. Min., 2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

On Dense Subgraphs in Signed Network Streams.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

An integrated agent-based approach for modeling disease spread in large populations to support health informatics.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

Combining Heterogeneous Data Sources for Civil Unrest Forecasting.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Detecting and forecasting domestic political crises: a graph-based approach.
Proceedings of the ACM Web Science Conference, 2014